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Data Science Machine Learning Jobs in Chicago, IL

Currently enrolled in a Bachelor's, Master's, or PhDtrack program in Computer Science, Data Science, Machine Learning, Statistics, or a related field * Ability to work onsite in Vernon Hills, IL at ...

AI and Data Science Lead

Lisle, IL · On-site

$191.20K - $286.80K/yr

Design and implement scalable AI and machine learning solutions that support enterprise initiatives ... PhD in Computer Science, Statistics, Data Science/Analytics, Management Information Systems ...

This team utilizes the power of data science and machine learning techniques to address the diverse business questions and challenges facing Ulta Beauty. As a Data Scientist, you will succeed by ...

Data Scientist

Bolingbrook, IL · On-site

$102.90K - $130K/yr

This team utilizes the power of data science and machine learning techniques to address the diverse business questions and challenges facing Ulta Beauty. As a Data Scientist, you will succeed by ...

Data Scientist

Bolingbrook, IL · On-site

$102.90K - $130K/yr

This team utilizes the power of data science and machine learning techniques to address the diverse business questions and challenges facing Ulta Beauty. As a Data Scientist, you will succeed by ...

Senior Machine Learning Engineer

Chicago, IL · On-site

$107.70K - $147.90K/yr

Machine Learning Engineer Must have: • 5+ years of implementing software product solutions in a ... This role will work cross-functionally with various data science teams, data engineering teams, and ...

Tempus is seeking an AI Data Science Summer Associate focused on applying advanced data science, AI, and machine learning techniques to solve complex business and research problems. You will join a ...

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Data Science Machine Learning information

See Chicago, IL salary details

$38.7K

$126.5K

$202.6K

How much do data science machine learning jobs pay per year?

As of May 28, 2026, the average yearly pay for data science machine learning in Chicago, IL is $126,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $140,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Machine Learning professional, and why are they important?

To thrive as a Data Science Machine Learning professional, you need a strong background in statistics, programming (usually Python or R), and a solid understanding of machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications such as AWS Certified Machine Learning, are typically valuable. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These skills enable professionals to develop robust models, extract actionable insights, and drive data-driven decision-making in organizations.

What are some common challenges faced when deploying machine learning models as a Data Science Machine Learning professional?

A frequent challenge in this role is bridging the gap between building accurate models in a controlled environment and deploying them effectively in production systems. Issues such as data drift, model performance degradation, and integration with existing IT infrastructure often arise. Collaboration with engineering and IT teams is crucial to ensure models are scalable, maintainable, and secure. Regular monitoring and updating of deployed models are also essential responsibilities to sustain their value to the business.

What is data science machine learning?

Data science machine learning refers to the use of algorithms and statistical models to analyze and draw insights from complex data sets. In this field, professionals use machine learning techniques to build predictive models, automate decision-making processes, and uncover patterns in data. Machine learning is a core component of data science, enabling systems to improve their performance over time without being explicitly programmed. Data scientists with machine learning expertise are in high demand across industries like healthcare, finance, and technology.

What is the difference between Data Science Machine Learning vs Data Analyst?

AspectData Science Machine LearningData Analyst
Required SkillsProgramming (Python, R), statistics, machine learning algorithmsData visualization, SQL, basic statistics
Work EnvironmentDeveloping models, coding, experimenting with algorithmsData reporting, dashboard creation, data cleaning
Industry UsageTech, finance, healthcare, where predictive models are neededBusiness intelligence, marketing, operations

Data Science Machine Learning professionals focus on building predictive models and algorithms using programming and advanced statistics, often working on complex projects. Data Analysts primarily interpret data through visualization and reporting to support business decisions. While both roles require data skills, Data Science Machine Learning involves more technical programming and modeling, whereas Data Analysts focus on data interpretation and presentation.

$286.80K/yr

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Job description

Position Overview

The AI and Data Science Lead will be responsible for helping drive, enhance, and scaling the AI program at International. This role will lead the organization’s AI and Data Science function, working closely with business partners to identify and evaluate new opportunities, develop scalable solutions, and strengthen enterprise AI/ML and data science capabilities.

This leader will oversee a growing team of AI/ML developers and data scientists and will play a key role in shaping the strategic direction of AI across the organization. The position will focus equally on building and scaling the data science practice and leading a high-performing team, partnering with adjacent functions such as data engineering, insights and BI, data governance, and data/enterprise architecture to deliver impactful, data-driven solutions.

As International continues to develop its AI Center of Excellence, this role offers the opportunity to help define and advance the organization’s AI strategy and capabilities.

Responsibilities

  • Lead and evolve the organization’s Data Science AI/ML function, including strategy, execution, and team development.

  • Contribute to building International’s AI Center of Excellence, helping define the roadmap and long-term capability strategy.

  • Manage and mentor a small team of AI/ML developers and data scientists with plans to grow the function over time.

  • Establish best practices, governance, and standards for AI development and deployment across the organization.

  • Partner with business leaders to identify, evaluate, and prioritize new opportunities that deliver measurable business value.

  • Design and implement scalable AI and machine learning solutions that support enterprise initiatives.

  • Improve and operationalize intake and evaluation process to ensure the right projects are prioritized and executed.

  • Collaborate with cross-functional business teams including

  • Production and Logistics, Research and Development, IT,

  • Finance, Procurement, HR, etc. to deliver cross-functional solutions.

  • Translate complex analytical insights into clear executive-level messaging and recommendations.

Minimum Requirements

  • Bachelor's degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field and at least 11 years of analytics, data quality or statistical analysis experience

  • At least 2 years of lead experience

OR

  • Master's degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field and at least 9 years of analytics, data quality or statistical analysis experience

  • At least 2 years of lead experience

OR

  • PhD in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field and at least 7 years of analytics, data quality or statistical analysis experience

  • At least 2 years of lead experience

Additional Requirements

  • Qualified candidates, excluding current employees, must be legally authorized on an unrestricted basis (US Citizen, Legal Permanent Resident, Refugee or Asylee) to be employed in the United States. We do not anticipate providing employment related work sponsorship for this position (e.g., H-1B status)

Desired Skills

  • Advanced degree (Master’s or PhD) in Computer Science, Data Science, Machine Learning, Statistics, Engineering, Economics, or a related quantitative field.

  • Experience in data science, machine learning, or AI, including experience leading and scaling teams or practices.

  • Demonstrated success building, leading, and advancing enterprise data science or AI/ML capabilities.

  • Strong experience and familiarity with modern AI, data science, machine learning tooling.

  • Demonstrated experience understanding and helping shape technology and architecture selection to advance organizational AI.

  • Experience developing and executing AI/ML strategy within complex organizations.

Benefits and Compensation

This position offers competitive market-based compensation, along with a comprehensive benefits package designed to support employee wellbeing. You can learn more about the benefits offered for this position by visiting https://careers.international.com/#benefits.The expected salary offered for this position will fall within the stated range, with the final offer based on the candidates' applicable skills, knowledge, and experience.

Salary Minimum: USD $191,200.00/Yr.

Salary Maximum: USD $286,800.00/Yr.

Company Overview

About TRATONWith its brands Scania, MAN, International, and Volkswagen Truck & Bus, TRATON SE is the parent and holding company of the TRATON GROUP (https://traton.com/) and one of the world’s leading commercial vehicle manufacturers. The Group’s product portfolio comprises trucks, buses, and light-duty commercial vehicles. “Transforming Transportation Together. For a sustainable world.”: this intention underlines the Company’s ambition to have a lasting and sustainable impact on the commercial vehicle business and on the Group’s commercial growth.

About InternationalFrom a one-man company built on the world-changing invention of the McCormick reaper in 1831, to the 15,000-person-strong company we are today, few companies can lay claim to a history like International. Based in Lisle, Illinois, International Motors, LLC* creates solutions that deliver greater uptime and productivity to our customers throughout the full operation of our commercial vehicles. We build International® trucks and engines and IC Bus® school and commercial buses that are as tough and as smart as the people who drive them. We also develop Fleetrite® aftermarket parts. In everything we do, our vision is to accelerate the impact of sustainable mobility to create the cleaner, safer world we all deserve. As of 2021, we joined Scania, MAN and Volkswagen Truck & Bus in TRATON GROUP, a global champion of the truck and transport services industry. To learn more, visit International.com.

*International Motors, LLC is d/b/a International Motors USA in Illinois, Missouri, New Jersey, Ohio, Texas, and Utah.

EEO Statement

We are an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.

If you are a qualified individual with a disability and require a reasonable accommodation to access the online application system or participate in the interview process due to your disability, please email HUB@International.com to request assistance. Kindly specify Job Requisition Number / Job Title and Location in response. Otherwise, your request may not be considered.